Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Yannis Papakonstantinou"'
Autor:
Arun Kumar, Alin Deutsch, Amarnath Gupta, Yannis Papakonstantinou, Babak Salimi, Victor Vianu
Publikováno v:
ACM SIGMOD Record. 51:43-46
We are in the golden age of data-intensive computing. CS is now the largest major in most US universities. Data Science, ML/AI, and cloud computing have been growing rapidly. Many new data-centric job categories are taking shape in industry, e.g., da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be1a04f38cbc9104c62dde151841e001
https://doi.org/10.1145/3572751.3572763
https://doi.org/10.1145/3572751.3572763
Autor:
Manos Athanassoulis, Peter Triantafillou, Raja Appuswamy, Rajesh Bordawekar, Badrish Chandramouli, Xuntao Cheng, Ioana Manolescu, Yannis Papakonstantinou, Nesime Tatbul
Publikováno v:
ACM SIGMOD Record. 51:74-77
In the last few years, SIGMOD and VLDB have intensified efforts to encourage, facilitate, and establish reproducibility as a key process for accepted research papers, awarding them with the Reproducibility badge. In addition, complementary efforts ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa0d042f0bcadfc2506b4b42cb380274
https://doi.org/10.1145/3552490.3552511
https://doi.org/10.1145/3552490.3552511
Publikováno v:
ACM Transactions on Database Systems. 45:1-42
Deep learning now offers state-of-the-art accuracy for many prediction tasks. A form of deep learning called deep convolutional neural networks (CNNs) are especially popular on image, video, and time series data. Due to its high computational cost, C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::192232599e16b89f05dce7561b3f1ae7
https://doi.org/10.1145/3397461
https://doi.org/10.1145/3397461
Publikováno v:
ACM SIGMOD Record. 49:61-68
Deep Convolutional Neural Networks (CNNs) now match human accuracy in many image prediction tasks, resulting in a growing adoption in e-commerce, radiology, and other domains. Naturally, "explaining" CNN predictions is a key concern for many users. S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23ae7ee09eea4b8b5ed42e3cd8762aac
https://doi.org/10.1145/3422648.3422663
https://doi.org/10.1145/3422648.3422663
Publikováno v:
ICDE
List intersection is at the core of information retrieval systems. Existing disk-based intersection algorithms were optimized for hard disk drives (HDDs) since HDDs have dominated the storage market for decades. In particular, those HDD-centric algor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::393118eca9e2ae08616556e46459e5db
https://doi.org/10.1109/icde51399.2021.00161
https://doi.org/10.1109/icde51399.2021.00161
Autor:
Alin Deutsch, Yannis Papakonstantinou
Publikováno v:
Proceedings of the VLDB Endowment. 11:2106-2109
Numerous databases support semi-structured, schemaless and heterogeneous data, typically in the form of graphs (often restricted to trees and nested data). They also provide corresponding high-level query languages or graph-tailored programming parad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f278f98ef3ec2a8f91d69c1c0b20f539
https://doi.org/10.14778/3229863.3229879
https://doi.org/10.14778/3229863.3229879
Publikováno v:
Proceedings of the VLDB Endowment. 10:853-864
Inverted list compression is a topic that has been studied for 50 years due to its fundamental importance in numerous applications including information retrieval, databases, and graph analytics. Typically, an inverted list compression algorithm is e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8611a3a31ec41ad9b56f5dba0bab676
https://doi.org/10.14778/3090163.3090164
https://doi.org/10.14778/3090163.3090164
Publikováno v:
SIGMOD Conference
Deep Convolutional Neural Networks (CNNs) now match human accuracy in many image prediction tasks, resulting in a growing adoption in e-commerce, radiology, and other domains. Naturally, explaining CNN predictions is a key concern for many users. Sin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf9cc5f898762d8953e0d674d22079b9
https://doi.org/10.1145/3299869.3319874
https://doi.org/10.1145/3299869.3319874
Given a database of vectors, a cosine threshold query returns all vectors in the database having cosine similarity to a query vector above a given threshold {\theta}. These queries arise naturally in many applications, such as document retrieval, ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c23f737c3d1453628c03ad5995be74a2
Publikováno v:
Proceedings of the VLDB Endowment. 10:265-276
We study a class of graph analytics SQL queries, which we call relationship queries. These queries involving aggregation, join, semijoin, intersection and selection are a wide superset of fixed-length graph reachability queries and of tree pattern qu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7db1e4b576ac9483678dc95404b0d0db
https://doi.org/10.14778/3021924.3021941
https://doi.org/10.14778/3021924.3021941